Navigation App POI Data Verification Service

3.05

Derivation Chain

Step 1 Google high-precision map conditional export approval in Korea

→

Step 2 Intensifying domestic navigation app competition

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Step 3 Automated verification of POI data accuracy and freshness used by navigation apps

Problem

With Google Navigation entering the Korean market, existing navigation services — KakaoMap, Naver Map, T-map — are racing to compete on POI (Point of Interest) data quality. However, manually verifying closures, relocations, and new openings across millions of nationwide POIs costs tens of thousands of dollars per month in labor, and erroneous POIs accelerate user churn.

Solution

A service that cross-references public data (business registration status, health permit records) with web crawling (review sites, social media mentions) to automatically detect POI closures, relocations, and information changes, delivering findings via API with confidence scores. Supports daily change Reports and bulk verification API.

Target: Data operations teams at IT companies (10–100 employees) running navigation and map services

Revenue Model: API usage-based: 1,000 requests/month Free, then ~$0.04 Per Transaction. High-volume customers (100K+ requests/month) at ~$290/month flat rate.

Ecosystem Role: Infrastructure

MVP Estimate: 1_month

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

2.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (55%)

Tech Complexity

24.7/40

Data Availability

18.8/25

MVP Timeline

12.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (56/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

16.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

4.5/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Data Pipeline [high] Backend [medium] Frontend [low]

Dashboard